# prime-intellect

> Prime Intellect GPU cloud API reference. Use when working with Prime Intellect pods, GPUs, clusters, disks, SSH keys, inference, or any PI compute resources.

- Author: Bharath Sriraam R R
- Repository: 13point5/prime-intellect-skills
- Version: 20260120203252
- Stars: 1
- Forks: 0
- Last Updated: 2026-02-06
- Source: https://github.com/13point5/prime-intellect-skills
- Web: https://mule.run/skillshub/@@13point5/prime-intellect-skills~prime-intellect:20260120203252

---

---
name: prime-intellect
description: Prime Intellect GPU cloud API reference. Use when working with Prime Intellect pods, GPUs, clusters, disks, SSH keys, inference, or any PI compute resources.
---

# Prime Intellect API Reference

**Base URL:** `https://api.primeintellect.ai`
**Inference API:** `https://api.pinference.ai/api/v1`

All requests require `Authorization: Bearer <api_key>` header.
For team accounts, include `X-Prime-Team-ID: <team_id>` header.

## API Groups

- **[Availability](availability.md)** - Check GPU, cluster, and disk availability and pricing
- **[Pods](pods.md)** - Create, manage, and monitor GPU instances
- **[Disks](disks.md)** - Network-attached storage management
- **[SSH Keys](ssh-keys.md)** - Manage SSH keys for pod access
- **[Inference](inference.md)** - Models and chat completions API
- **[Sandboxes](sandboxes.md)** - Lightweight container environments
- **[Images](images.md)** - Custom image management
- **[Evals](evals.md)** - Evaluation management
- **[User](user.md)** - User info and teams

## Quick Reference

### Available GPU Types

`CPU_NODE, A10_24GB, A100_80GB, A100_40GB, A30_24GB, A40_48GB, B200_180GB, B300_262GB, RTX3090_24GB, RTX4090_24GB, RTX5090_32GB, H100_80GB, H200_96GB, GH200_96GB, L4_24GB, L40_48GB, L40S_48GB, A4000_16GB, A5000_24GB, A6000_48GB, V100_16GB, V100_32GB, T4_16GB`

### Available Regions

`africa, asia_south, asia_northeast, australia, canada, eu_east, eu_north, eu_west, middle_east, south_america, united_states`

### Available Images

`ubuntu_22_cuda_12, cuda_12_1_pytorch_2_2, cuda_11_8_pytorch_2_1, cuda_12_1_pytorch_2_3, cuda_12_1_pytorch_2_4, cuda_12_4_pytorch_2_4, cuda_12_4_pytorch_2_5, cuda_12_4_pytorch_2_6, cuda_12_6_pytorch_2_7, stable_diffusion, axolotl, bittensor, vllm_llama_8b, vllm_llama_70b, vllm_llama_405b, custom_template, flux, prime_rl`

### Provider Types

`runpod, fluidstack, lambdalabs, hyperstack, oblivus, cudocompute, scaleway, tensordock, datacrunch, latitude, crusoecloud, massedcompute, akash, primeintellect, primecompute, nebius, vultr, denvr`

### Socket Types

`PCIe, SXM2, SXM3, SXM4, SXM5, SXM6`

### Security Types

`secure_cloud, community_cloud`